Random regression models with B-splines to estimate genetic parameters for body weight of young bulls in performance tests
Author:
Affiliation:
1. Universidade Federal de Mato Grosso, Brasil
2. Universidade Federal de Minas Gerais, Brasil
3. Embrapa Pecuária Sudeste, Brasil
Publisher
FapUNIFESP (SciELO)
Subject
Animal Science and Zoology
Link
http://www.scielo.br/pdf/rbz/v47/1806-9290-rbz-47-e20150300.pdf
Reference23 articles.
1. Estimates of covariance functions for growth from birth to 630 days of age in Nelore cattle;Albuquerque L. G.;Journal of Animal Science,2001
2. Random regression analyses using B-splines functions to model growth from birth to adult age in Canchim cattle;Baldi F.;Journal of Animal Breeding and Genetics,2010
3. Estimates of genetic parameters for growth traits in Brahman cattle using random regression and multitrait models;Bertipaglia T. S.;Journal of Animal Science,2015
4. Studies on multiple trait and random regression models for genetic evaluation of beef cattle for growth;Bohmanova J.;Journal of Animal Science,2005
5. Random regression analysis using B-splines functions to model growth of Nellore cattle;Boligon A. A.;Animal,2012
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2. Covariance functions under B-spline polynomials to model Polled Nellore cattle growth;Semina: Ciências Agrárias;2021-10-08
3. Genetic evaluation of growth using random regression models;The Indian Journal of Animal Sciences;2021-10-05
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